def play(q_agent, human=0, helper=False, helper_depth=20):
"""
Play human game against the QAgent.
`human` can be set to 0 or 1 to specify whether
human moves first or second.
"""
connect4 = Connect4()
helper = Minimax(max_depth=helper_depth) if helper else None
while True:
for l in range(0, 42, 7):
row = ''.join([f"{connect4.board[l + i]}|" for i in range(7)])
print(row[:13])
print('-+-+-+-+-+-+-')
actions = connect4.available_actions(connect4.board)
if connect4.player == human:
print("Your Move.")
while True:
column = int(input().strip()) - 1
if not column in actions:
print(
'That place is already filled or invalid. Still your move.'
)
else:
break
# column, values = helper.get_move(connect4.board)
else:
print("QAgent's Move.")
if helper:
action, values = helper.get_move(connect4.board)
if values.count(1000) >= 1 or values.count(-1000) >= 1:
column = action
else:
column = q_agent.choose_action(connect4.board,
epsilon=False)
else:
column = q_agent.choose_action(connect4.board, epsilon=False)
print(f"QAgent put a chip in column {column + 1}.")
connect4.move(column)
if connect4.result is not None:
print("\nGAME OVER\n")
winner = "Human" if connect4.result == human else "QAgent"
print(f"Winner is {winner}")
break
if input("Play again?\n").lower() == "y":
play(q_agent)
def __compare_bots(self, iterations):
if self.state.playerToMove == self.player1:
assert self.state.playerToMove.algorithm == "ISMCTS"
return self.smart_ismcts.get_move(rootstate=self.state,
itermax=iterations,
verbose=False)
else:
assert self.state.playerToMove.algorithm == "Minimax"
return Minimax.get_move(self.state)
def ai(self,event): print "AI" self.new_game() ai = Minimax() while not self.board.has_lost(): ai.state = self.board move = ai.get_move() self.board.move(move) if self.board.valid_move: new_tile = Tile(None) new_tile.set_start_value() self.board.set_new_tile(new_tile) self.update_board() else: self.update_board() break self.game_ended()
